はてなブックマーク

By Krish Maniar and William Fu-Hinthorn If you are interested in beta-testing more prompt optimization techniques, fill out interest form here. When we write prompts, we attempt to communicate our intent for LLMs to apply on messy data, but it's hard to effectively communicate every nuance in one go. Prompting is typically done through manual trial and error, testing and tweaking until things work

Ambient agents listen to an event stream and act on it accordingly, potentially acting on multiple events at a time Notably, however, we do not think that ambient agents are necessarily completely autonomous. In fact, we think a key part of bringing ambient agents to the public will be thoughtful consideration as to when and how these agents interact with humans. Human-in-the-loopWe use human-in-t

Francisco Ingham and Jon Luo are two of the community members leading the change on the SQL integrations. We’re really excited to write this blog post with them going over all the tips and tricks they’ve learned doing so. We’re even more excited to announce that we’ll be doing an hour long webinar with them to discuss these learnings and field other related questions. This webinar will be on March